Draft version March 16, 2020
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The ALPINE-ALMA [CII] Survey:
Multi-Wavelength Ancillary Data and Basic Physical Measurements
A. L. Faisst
,
1
D. Schaerer
,
2, 3
B. C. Lemaux
,
4
P. A. Oesch
,
2
Y. Fudamoto
,
2
P. Cassata
,
5, 6
M. B
́
ethermin
,
7
P. L. Capak
,
1, 8, 9
O. Le F
`
evre
,
7
J. D. Silverman
,
10, 11
L. Yan
,
12
M. Ginolfi,
2
A. M. Koekemoer
,
13
L. Morselli,
5, 6
R. Amor
́
ın
,
14, 15
S. Bardelli
,
16
M. Boquien
,
17
G. Brammer
,
8
A. Cimatti,
18, 19
M. Dessauges-Zavadsky
,
2
S. Fujimoto
,
8, 9
C. Gruppioni
,
16
N. P. Hathi
,
13
S. Hemmati
,
20
E. Ibar,
21
G. C. Jones
,
22, 23
Y. Khusanova,
7, 24
F. Loiacono,
18, 16
F. Pozzi
,
18
M. Talia
,
18, 16
L. A. M. Tasca,
7
D. A. Riechers
,
25, 24
G. Rodighiero
,
5, 6
M. Romano,
5, 6
N. Scoville
,
26
S. Toft
,
8, 9
L. Vallini
,
27
D. Vergani,
16
G. Zamorani
,
16
and E. Zucca
16
1
IPAC, M/C 314-6, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA
2
Observatoire de Gen`eve, Universit ́e de Gen`eve, 51 Ch. des Maillettes, 1290 Versoix, Switzerland
3
Institut de Recherche en Astrophysique et Plan ́etologie
−
IRAP, CNRS, Universit ́e de Toulouse, UPS-OMP, 14, avenue E. Belin,
F31400 Toulouse, France
4
Department of Physics, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
5
Dipartimento di Fisica e Astronomia, Universit`a di Padova, vicolo dell’Osservatorio, 3 I-35122 Padova, Italy
6
INAF, Osservatorio Astronomico di Padova, vicolo dell’Osservatorio 5, I-35122 Padova, Italy
7
Aix Marseille Universit ́e, CNRS, LAM (Laboratoire d’Astrophysique de Marseille) UMR 7326, 13388, Marseille, France
8
The Cosmic Dawn Center, University of Copenhagen, Vibenshuset, Lyngbyvej 2, DK-2100 Copenhagen, Denmark
9
Niels Bohr Institute, University of Copenhagen, Lyngbyvej 2, DK-2100 Copenhagen, Denmark
10
Kavli Institute for the Physics and Mathematics of the Universe, The University of Tokyo, Kashiwa, Japan 277-8583 (Kavli IPMU,
WPI)
11
Department of Astronomy, School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan
12
The Caltech Optical Observatories, California Institute of Technology, Pasadena, CA 91125, USA
13
Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA
14
Instituto de Investigaci ́on Multidisciplinar en Ciencia y Tecnolog ́ıa, Universidad de La Serena, Ra ́ul Bitr ́an 1305, La Serena, Chile
15
Departamento de Astronom ́ıa, Universidad de La Serena, Av. Juan Cisternas 1200 Norte, La Serena, Chile
16
INAF - Osservatorio di Astrofisica e Scienza dello Spazio di Bologna, via Gobetti 93/3, I-40129, Bologna, Italy
17
Centro de Astronom ́ıa (CITEVA), Universidad de Antofagasta, Avenida Angamos 601, Antofagasta, Chile
18
Universit`a di Bologna - Dipartimento di Fisica e Astronomia, Via Gobetti 93/2 - I-40129, Bologna, Italy
19
INAF - Osservatorio Astrofisico di Arcetri, Largo E. Fermi 5, I-50125, Firenze, Italy
20
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
21
Instituto de F ́ısica y Astronom ́ıa, Universidad de Valpara ́ıso, Avda. Gran Breta ̃na 1111, Valpara ́ıso, Chile
22
Cavendish Laboratory, University of Cambridge, 19 J. J. Thomson Ave., Cambridge CB3 0HE, UK
23
Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK
24
Max-Planck-Institut f ̈ur Astronomie, K ̈onigstuhl 17, D-69117 Heidelberg, Germany
25
Department of Astronomy, Cornell University, Space Sciences Building, Ithaca, NY 14853, USA
26
California Institute of Technology, MC 249-17, 1200 East California Boulevard, Pasadena, CA 91125, USA
27
Leiden Observatory, Leiden University, PO Box 9500, 2300 RA Leiden, The Netherlands
Submitted to ApJS
ABSTRACT
We present the ancillary data and basic physical measurements for the galaxies in the
ALMA Large
Program to Investigate C
+
at Early Times (ALPINE)
survey
−
the first large multi-wavelength survey
which aims at characterizing the gas and dust properties of 118 main-sequence galaxies at redshifts
4
.
4
< z <
5
.
9 via the measurement of [C
II
] emission at 158
μ
m (64% at
>
3
.
5
σ
) and the surrounding
Corresponding author: Andreas L. Faisst
afaisst@ipac.caltech.edu
arXiv:1912.01621v2 [astro-ph.GA] 13 Mar 2020
2
Faisst et al.
far-infrared (FIR) continuum in conjunction with a wealth of optical and near-infrared data. We
outline in detail the spectroscopic data and selection of the galaxies as well as the ground- and space-
based imaging products. In addition, we provide several basic measurements including stellar masses,
star formation rates (SFR), rest-frame ultra-violet (UV) luminosities, UV continuum slopes (
β
), and
absorption line redshifts, as well as H
α
emission derived from Spitzer colors. We find that the
ALPINE
sample is representative of the 4
< z <
6 galaxy population selected by photometric methods and only
slightly biased towards bluer colors (∆
β
∼
0
.
2). Using [C
II
] as tracer of the systemic redshift (confirmed
for one galaxy at
z
= 4
.
5 out of 118 for which we obtained optical [O
II
]
λ
3727
̊
A emission), we confirm
red shifted Ly
α
emission and blue shifted absorption lines similar to findings at lower redshifts. By
stacking the rest-frame UV spectra in the [C
II
] rest-frame we find that the absorption lines in galaxies
with high specific SFR are more blue shifted, which could be indicative of stronger winds and outflows.
Keywords:
galaxies: evolution — galaxies: fundamental parameters — galaxies: ISM — galaxies: star
formation — galaxies: photometry
1.
INTRODUCTION
1.1.
The Early Growth Phase in Galaxy Evolution
Galaxy evolution undergoes several important phases
such as the ionization of neutral Hydrogen at redshifts
z >
6 (also known as the Epoch of Reionizaton) as well
as a time of highest cosmic star-formation rate (SFR)
density at
z
∼
2
−
3. The transition phase at
z
= 4
−
6
(a time roughly 0
.
9 to 1
.
5 billion years after the Big
Bang), often referred to as the
early growth phase
, is
currently in focus of many studies. This time is of great
interest for understanding galaxy evolution as it con-
nects primordial galaxy formation during the epoch of
reionization with mature galaxy growth at and after the
peak of cosmic SFR density. During a time of only
600 Myrs, the cosmic stellar mass density in the uni-
verse increased by one order of magnitude (Caputi et al.
2011; Davidzon et al. 2017), galaxies underwent a critical
morphological transformation to build up their disk and
bulge structures (Gnedin et al. 1999; Bournaud et al.
2007; Agertz et al. 2009), and their interstellar medium
(ISM) became enriched with metal from sub-solar to so-
lar amounts (Ando et al. 2007; Faisst et al. 2016a), while
at the same time the dust attenuation of the UV light
significantly increased (Finkelstein et al. 2012; Bouwens
et al. 2015; Fudamoto et al. 2017; Popping et al. 2017;
Cullen et al. 2018; Ma et al. 2019; Yamanaka & Yamada
2019). Furthermore, the most massive of these galaxies
may become the first quiescent galaxies already at
z >
4
(Glazebrook et al. 2017; Valentino et al. 2019; Tanaka
et al. 2019; Stockmann et al. 2020; Faisst et al. 2019).
All this put together, makes the early growth phase an
important puzzle piece to be studied in order to decipher
how galaxies formed and evolved to become the galaxies
(either star forming or quiescent) that we observe in the
local universe.
It is evident from studies at lower redshift that multi-
wavelength observations are crucial for us to be able to
form a coherent picture of galaxy evolution. To capture
several important properties of galaxies, a
panchromatic
survey must comprise several spectroscopic and imaging
datasets that cover a large fraction of the wavelength
range of a galaxy’s light emission, including
(i)
the rest-
frame ultra-violet (UV) containing Ly
α
emission, as well
as several absorption lines to study stellar winds and
metallicity (Heckman et al. 1997; Maraston et al. 2009;
Steidel et al. 2010; Faisst et al. 2016a),
(ii)
the rest-
frame optical containing tracers of age (Balmer break)
as well as important emission lines (e.g., H
α
) to quantify
the star-formation and gas metal properties (Kennicutt
1998; Kewley & Ellison 2008), and
(iii)
the far-infrared
(FIR) continuum and several FIR emission lines (e.g,.
[C
II
]
λ
158
μ
m or [N
II
]
λ
205
μ
m) that provide insights into
the gas and dust properties of galaxies (De Looze et al.
2014; Pavesi et al. 2019).
Fortunately, the early growth phase at redshifts
z
= 4
−
6 is at the same time the highest red-
shift epoch at which, using current technologies, such a
panchromatic study can be carried out. The rest-frame
UV part of the energy distribution at these redshifts has
been probed in the past thanks to several large spec-
troscopic (Le F`evre et al. 2015; Hasinger et al. 2018)
and imaging (Capak et al. 2007; McCracken et al. 2012;
Aihara et al. 2019) surveys from the ground as well as
imaging surveys with the Hubble Space Telescope (HST,
Grogin et al. 2011; Koekemoer et al. 2011; Scoville et al.
2007a). In addition, H
α
has been accessed successfully
through observations with the Spitzer Space Telescope
(Stark et al. 2013; de Barros et al. 2014; Smit et al.
2014; Rasappu et al. 2016; Smit et al. 2016; Faisst et al.
2016a, 2019; Lam et al. 2019). However, the FIR of
z >
4 galaxies has only been probed sparsely in the past
in less than a dozen galaxies using the
Atacama Large
The ALPINE-ALMA [CII] Survey: Ancillary Data
3
* Typical z = 5 galaxy
Ly
α
optical
emission
lines
UV continuum
and
Absorption
lines
20
22
24
26
28
Magnitude
Observed wavelength [
μ
m]
1
10
100
1000
H
α
[CII]
gas, dust,
dust obscured
star formation
hot gas and
star formation
stars, dust,
metallicity,
stellar winds
FIR continuum
and lines
Sections in this paper are indicated
Spectroscopy
(Keck/DEIMOS, VUDS, GOODS-S/VLT)
-
§2
Imaging
(ground & HST; various programs)
-
§3
Spitzer imaging -
§3
H
α
from Spitzer colors -
§4
Layout of Current Data Products for
ALPINE
Galaxies
SED fitting -
§4
(Stellar masses, SFR)
ALMA
Data reduction:
Béthermin et al. (2019)
Figure 1.
ALPINE
builds the corner stone of a panchromatic survey at
z
= 4
−
6. The diagram shows the multi-wavelength
data products that are currently available for all the
ALPINE
galaxies. The currently covered parts of the spectrum are
indicated in red. The numbers link to sections in this paper where the data products and their analysis are explained in detail.
The spectrum sketch is based on a typical
z
= 5 galaxy (adapted from Harikane et al. 2018).
(Sub-) Millimeter Array
(ALMA, Riechers et al. 2014;
Capak et al. 2015; Watson et al. 2015; Willott et al.
2015; Strandet et al. 2017; Carniani et al. 2018; Zavala
et al. 2018b,a; Casey et al. 2019; Jin et al. 2019) as
well as some as part of Herschel surveys in lensed and
unlensed fields (e.g., Egami et al. 2010; Combes et al.
2012; Casey et al. 2012, 2014). Commonly targeted by
observations with ALMA is singly ionized Carbon (C
+
)
at 158
μ
m, which is an important coolant for the gas in
galaxies and is therefore broadly related to star forma-
tion activity and gas masses (Stacey et al. 1991; Carilli
& Walter 2013; De Looze et al. 2014). The [C
II
] emis-
sion line is one of the strongest in the FIR and is in
addition conveniently located in the ALMA Band 7 at
redshifts
z
= 4
−
6 at one of the highest atmospheric
transmissions compared to other FIR lines (see, e.g.,
Faisst et al. 2017). The origin of [C
II
] emission is still de-
bated. In addition to photo-dissociation regions (PDRs)
and the cold neutral medium, a significant fraction can
also origin from ionized gas regions or CO-dark molecu-
lar clouds (Pineda et al. 2013; Vallini et al. 2015; Pavesi
et al. 2016). Also, the increasing temperature of the Cos-
mic Microwave Background (CMB) has an effect on the
relation between [C
II
] and star formation (Ferrara et al.
2019). Both potentially complicates the interpretation
of [C
II
] as SFR indicator at high redshifts. Similar to
H
α
, [C
II
] traces the gas kinematics in a galaxy and is
therefore an important component to quantify rotation-
and dispersion-dominated systems as well as outflows
(Jones et al. 2017; Pavesi et al. 2018; Kohandel et al.
2019; Ginolfi et al. 2019).
The FIR landscape has dramatically changed with
the completion of the
ALMA Large Program to Inves-
tigate C
+
at Early Times
(
ALPINE
, #2017.1.00428.L).
ALPINE
is laying the ground work for the exploration of
gas and dust properties in 118
main-sequence
star form-
ing galaxies in the early growth phase at 4
.
4
< z <
5
.
9
and herewith started the first panchromatic survey of
its kind at these redshifts.
1.2.
ALPINE in a Nutshell
4
Faisst et al.
In the following, we summarize the scope of the
ALPINE
survey, we refer to Le F`evre et al. (2019) for a
broader overview of the program.
ALPINE
is a 69 hour
large ALMA program started in Cycle 5 in May 2018
and completed during Cycle 6 in February 2019. In to-
tal, 118 galaxies have been observed in Band 7 (cover-
ing [C
II
] emission at 158
μ
m and its nearby continuum)
at a spatial resolution of
<
1
.
0
′′
and with integration
times
∼
30 minutes on-source depending on their pre-
dicted [C
II
] flux. The galaxies origin from two fields,
namely the
Cosmic Evolution Survey
field (COSMOS,
105 galaxies, Scoville et al. 2007b) and the
Extended
Chandra Deep Field South
(ECDFS, 13 galaxies, Giac-
coni et al. 2002). Due to gaps in the transition through
the atmosphere, the galaxies are split in two different
redshift ranges spanning 4
.
40
< z <
4
.
65 and 5
.
05
< z <
5
.
90 with medians of
〈
z
〉
= 4
.
5 and 5
.
5 and galaxy num-
bers of 67 and 51, respectively. All galaxies are spectro-
scopically confirmed by either Ly
α
emission or rest-UV
absorption lines and are selected to be brighter than an
absolute UV magnitude of
M
1500
=
−
20
.
2. This limit is
roughly equivalent to a SFR cut at 10 M
yr
−
1
and cor-
responds roughly to a limiting luminosity in [C
II
] emis-
sion of
L
[CII]
= 1
.
2
+1
.
9
−
0
.
9
×
10
8
L
(assuming the relation
derived by De Looze et al. 2014). Assuming a 3
.
5
σ
de-
tection limit, the [C
II
] detection rate is 64% and con-
tinuum emission is detected in 19% of the galaxies (see
Figure 2).
The main science goals enabled by
ALPINE
are di-
verse and cover many crucial research topics at high
redshifts:
−
connecting [C
II
] to star-formation at high red-
shifts,
−
coherent study of the total SFR density at
z >
4
including the contribution of dust-obscured star
formation,
−
study of gas dynamics and merger statistics from
[C
II
] kinematics and quantification of UV-faint
companion galaxies,
−
study of gas fractions and dust properties at
z >
4,
−
the first characterization of ISM properties using
L
FIR
/
L
UV
and [C
II
]/FIR continuum diagnostics
for a large sample at
z >
4,
−
quantifying outflows and feedback processes in
z >
4 galaxies from [C
II
] line profiles.
Note that
ALPINE
provides at the same time the
equivalent of a blind-survey of approximately 25 square-
arcminutes. This enables us to estimate the obscured
fraction of star-formation (mostly below
z
= 4) by find-
ing UV-faint galaxies with FIR continuum or [C
II
] emis-
sion. The serendipitous continuum sources and [C
II
] de-
tections are discussed in detail in Bethermin et al. (2020)
0
5
10
15
20
25
30
signal-to-noise ratio
0
5
10
15
20
25
Number
3.5
SNR for ALMA-detected (
> 3.5
) sources
[CII] line emission
FIR continuum emission
Figure 2.
Signal-to-Noise (SNR) of the ALMA-detected
sources in the
ALPINE
sample. The different histograms
show the numbers for [C
II
] and continuum detections above
3
.
5
σ
. For more information, see Le F`evre et al. (2019) and
Bethermin et al. (2020).
and Loiacono et al. (in prep.). A more detailed descrip-
tion of these science goals can be found in our survey
overview paper (Le F`evre et al. 2019).
ALPINE
is based on a rich set of ancillary data, which
makes it the first panchromatic survey at these high red-
shifts including imaging and spectroscopic observations
at FIR wavelengths (see Figure 1). The backbone for a
successful selection of galaxies are rest-frame UV spec-
troscopic observations from the Keck telescope in Hawaii
as well as the European
Very Large Telescope
(VLT) in
Chile. These are complemented by ground-based imag-
ing observations from rest-frame UV to optical, HST
observations in the rest-frame UV, and Spitzer coverage
above the Balmer break at rest-frame 4000
̊
A. The latter
is crucial for the robust measurement of stellar masses
at these redshifts (e.g., Faisst et al. 2016b).
For a survey overview of
ALPINE
see Le F`evre et al.
(2019) and for details on the data analysis see Bethermin
et al. (2020). In this paper, we present these valuable
ancillary data products and detail several basic mea-
surements for the
ALPINE
galaxies. The outline of the
paper is sketched in Figure 1. Specifically, in Section 2,
we present the spectroscopic data and detail the spectro-
scopic selection of the
ALPINE
galaxies. In the same
section, we also present stacked spectra and touch on
velocity offsets between Ly
α
, [C
II
], and absorption line
redshifts. Section 3 is devoted to the photometric data
products, which include ground- and space-based pho-
tometry. In Section 4.1, we detail the derivation of sev-
The ALPINE-ALMA [CII] Survey: Ancillary Data
5
eral galaxy properties from the observed photometry.
These include stellar masses, SFRs, UV luminosities,
UV continuum slopes, as well as H
α
emission derived
from Spitzer colors. We conclude and summarize in Sec-
tion 5. All presented data products are available in the
online printed version of this paper
1
. The different cata-
logs and their columns are described in detail in the Ap-
pendix A. HST cutouts and rest-frame UV spectra for
each of the
ALPINE
galaxies are shown in Appendix B.
Throughout the paper we assume the ΛCDM cos-
mology with
H
0
= 70 km s
−
1
Mpc
−
1
, Ω
Λ
= 0
.
70, and
Ω
m
= 0
.
30. All magnitudes are given in the AB system
(Oke 1974) and stellar masses and SFRs are normalized
to a Chabrier (2003) initial mass function (IMF).
2.
SPECTROSCOPIC DATA AND SELECTION
2.1.
Spectroscopic selection of ALPINE galaxies
The
ALPINE
survey is only possible due to a spectro-
scopic pre-selection of galaxies from large spectroscopic
surveys on COSMOS and ECDFS. This is because the
ALMA frequency bands are narrow (
∼
1000 km s
−
1
),
and in order to observe [C
II
] emission the redshift has
to be known within a precision of
∼
1000 km
/
s. The
galaxy selection is refined to optimize the efficiency of
the ALMA observations by creating groups of galax-
ies in spectral dimensions. Our sample also includes
7 galaxies that were previously observed with ALMA
by Riechers et al. (2014) and Capak et al. (2015).
These are
HZ1
,
HZ2
,
HZ3
,
HZ4
,
HZ5
,
HZ6
/
LBG-1
,
and
HZ8
, which correspond to the
ALPINE
galax-
ies
DC
536534
,
DC
417567
,
DC
683613
,
DC
494057
,
DC
845652
,
DC
848185
, and
DC
873321
, respectively.
Furthermore, four galaxies from the VUDS survey
(
vc
5101288969
,
vc
5100822662
, and
vc
510786441
in
COSMOS and
ve
530029038
in ECDFS) are observed
twice (resulting in a total number of 122 observations).
The duplicate observations are used for quality assess-
ment. Bethermin et al. (2020) describes the combination
of these observations.
The rest-frame UV spectroscopic data from which
the
ALPINE
sample is selected combine various large
surveys on the COSMOS and ECDFS fields. Out of
the 105
ALPINE
galaxies on the COSMOS field, 84
are obtained by the large DEIMOS spectroscopic sur-
vey (Capak et al. 2004; Mallery et al. 2012; Hasinger
et al. 2018) at the Keck telescope in Hawaii.
The
remaining spectra on the COSMOS field are ob-
tained from the VIMOS Ultra Deep Survey (VUDS,
Le F`evre et al. 2015; Tasca et al. 2017) at the VLT
1
http://www.astro.caltech.edu/
∼
afaisst/
Table 1.
Spectroscopy and selection of
ALPINE
galaxies
Survey
Selection
Number
Ref.
COSMOS field (105 galaxies)
Keck/DEIMOS
†
84
1
narrow-band (
z
∼
4
.
5)
a
6
narrow-band (
z
∼
5
.
7)
b
23
LBG (color)
c
41
pure photo-
z
d
9
4
.
5
μ
m excess
4
X-ray (Chandra)
1
with Ly
α
emission
66
weak Ly
α
emission or absorption
18
VUDS
21
2
photo-
z
+ LBG
21
[narrow-band (
z
∼
4
.
5)
3]
‡
[narrow-band (
z
∼
5
.
7)
1]
‡
[LBG (color)
1]
‡
[4
.
5
μ
m excess
1]
‡
with Ly
α
emission
16
weak Ly
α
emission or absorption
5
ECDFS field (13 galaxies)
VLT GOODS-S
11
3
primarily LBG (color)
11
total with Ly
α
emission
6
total without Ly
α
emission
5
HST/GRAPES
2
4
Grism (no
a priori
selection)
2
with Ly
α
emission
2
weak Ly
α
emission or absorption
0
†
For a detailed description of the selection criteria, we refer to Mallery
et al. (2012) and Hasinger et al. (2018).
‡
Six of these galaxies are also observed as part of the Keck/DEIMOS
survey (ref.
1).
The corresponding number per selection from the
Keck/DEIMOS program is given in square-brackets for those six galaxies.
a
Ly
α
emitters selected with
NB711
.
b
Ly
α
emitters selected with
NB814
.
c
Color-selected galaxies in
B
,
g
+
,
V
,
r
+
, and
z
++
using the criteria
from Ouchi et al. (2004); Capak et al. (2004, 2011); Iwata et al. (2003);
Hildebrandt et al. (2009).
d
Galaxies with a photometric redshift
z >
4 with a probability of
>
50%
based on the Ilbert et al. (2010) photo-z catalog.
References: (1) Capak et al. (2004); Mallery et al. (2012); Hasinger et al.
(2018), (2) Le F`evre et al. (2015), (3) Vanzella et al. (2007, 2008); Balestra
et al. (2010), (4) Malhotra et al. (2005); Rhoads et al. (2009)
in Chile. In total 6 of the VUDS spectra are inde-
pendently also observed as part of the Keck/DEIMOS
survey (
vc
5100559223
,
vc
5100822662
,
vc
5101218326
,
vc
5101244930
,
vc
5101288969
,
vc
510786441
).
The
redshifts are consistent within 280 km s
−
1
and we do
not find any systematic offsets between the two obser-
vations (see also Section 2.4.1). Out of the 13 galax-
ies in the ECDFS field, 11 are obtained from spec-
troscopic observations with VIMOS (9) and FORS2
6
Faisst et al.
4.40
4.45
4.50
4.55
4.60
Spectroscopic Redshift
0
1
2
3
4
5
6
7
8
9
Number (stacked)
z ~ 4.5 sample
5.1
5.2
5.3
5.4
5.5
5.6
5.7
5.8
5.9
Spectroscopic Redshift
z ~ 5.5 sample
GRAPES (HST grism, ECDFS)
VLT VIMOS and FORS2 (ECDFS)
X-ray (Chandra)
LBG (color)
Narrow-band (low-z)
Narrow-band (high-z)
4.5
m
excess
photometric redshift
VUDS (photo-z + LBG)
Figure 3.
Redshift distribution of
ALPINE
galaxies. Each bar shows the stacked number of different selections per bin (see
Table 1 and description in text). The bins with galaxies from the ECDFS field are hatched. The left and right panels show
galaxies in the two different redshift bins.
22
23
24
25
26
27
28
z-band magnitude
21
22
23
24
25
26
27
28
K-band magnitude
GRAPES (HST grism, ECDFS)
VLT VIMOS and FORS2 (ECDFS)
X-ray (Chandra)
LBG (color)
Narrow-band (low-z)
Narrow-band (high-z)
4.5
m
excess
photometric redshift
VUDS (photo-z + LBG)
Parent (4 < z < 6)
9.5
10.0
10.5
11.0
11.5
12.0
log(
L
/
L
)
at rest-frame
1500 Å
9.5
10.0
10.5
11.0
11.5
12.0
log(
L
/
L
)
at rest-frame
4000 Å
GRAPES (HST grism, ECDFS)
VLT VIMOS and FORS2 (ECDFS)
X-ray (Chandra)
LBG (color)
Narrow-band (low-z)
Narrow-band (high-z)
4.5
m
excess
photometric redshift
VUDS (photo-z + LBG)
Figure 4.
Comparison of observed (i.e., not corrected for dust)
z
-band and
K
-band magnitudes (left) and luminosities (right)
for different selections listed in Table 1. The measurements on the parent sample in COSMOS at 4
< z <
6 is shown in light
gray. The color-coding is the same as in Figure 3. The arrows show 1
σ
upper limits. The gray area denotes the
M
∗
UV
, the knee
of the UV luminosity function, which corresponds to
−
21
.
1
±
0
.
15 (or log(
νL
ν
/
L
)
∼
10
.
77) at
z
= 5 (Bouwens et al. 2015).
The derivation of the photometry is described in detail in Section 3.
(2
2
) at the VLT (Vanzella et al. 2007, 2008; Balestra
et al. 2010), and 2 come from the HST grism survey
GRAPES
(Malhotra et al. 2005; Rhoads et al. 2009).
The spectral resolution of the different dataset varies
between
R
∼
100 (ECDFS/
GRAPES
grism),
R
∼
180 (ECDFS/VIMOS),
R
∼
230 (COSMOS/VUDS),
R
∼
660 (ECDFS/FORS2), and
R
∼
2500 (COS-
MOS/DEIMOS).
Biases towards dust-poor star-forming galaxies with
strong rest-frame UV emission lines (such as Ly
α
) can
2
One of these galaxies,
ve
530029038
, has also been observed by
the VUDS survey.
be common in purely spectroscopically selected samples.
To minimized such biases as much as possible, the spec-
troscopically observed galaxies have been pre-selected
through a variety of different selection methods. The
largest fraction of galaxies in
ALPINE
is drawn from
the Keck/DEIMOS and VUDS surveys on the COS-
MOS field. Both surveys include galaxies preselected
in various ways, resulting in the most representative
and inclusive spectroscopic high-redshift galaxy sam-
ple. Specifically, the VUDS survey combines predom-
inantly a photometric redshift selection with a color-
selected Lyman Break Galaxy (LBG) selection (Le F`evre
et al. 2015), known as the Lyman-break drop-out tech-